Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

Supplement to “Multiple Imputation for Multilevel Data with Continuous and Binary
Variables”. Technical details on the posterior distributions of imputation model parameters …

Objectives Given the recent peak in refugee numbers and refugees' high odds of developing
post‐traumatic stress disorder (PTSD), finding ways to alleviate PTSD in refugees is of vital …

Empirical data are seldom completely observed. How to adequately analyse data sets
affected by missing values is usually not the focus of courses at bachelor or master level …

Background Children that experience a mild traumatic brain injury (mTBI) are at an
increased risk of neural alterations that can deteriorate mental health. We test the hypothesis …

Research findings show humanitarian work impacts one's health. We conducted a
prospective observational study among 618 international humanitarian aid workers …

To cope with an increased proportion of older workers, organisations develop old-age
adaptation policies. Two strategies underlie these policies: phasing out and activating …

The impact of online math programs depends on its implementation, especially in vulnerable
populations from developing countries. An existing online platform was adapted, at the …

Abstract Research Domain Criteria (RDoC) aims to advance a dimensional, multilevel
understanding of psychopathology across the life span. Two key challenges exist in …